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Presentation Material SQLSAT337 Oregon

Thanks for attending my session, I just finished my presentation in Oregan SQLSAT 337 in Oregan

please find the below link to access the presentation power point

https://www.sqlsaturday.com/viewsession.aspx?sat=337&sessionid=25169

“Show Me Potential Customers “ : Data Mining Approach

In the most marketing departments, the tactical question is about who are going to buy our products. It is more cost effective to identify and spend money on highly potential customers (than those who are not likely to purchase). This also affects the advertisement strategy. Potential customers and their traits can be identified by analysing previous purchasing information. Management experts can predict who is going to be their new customers by analysing their current customer purchase information. There are many data mining algorithms which can help with this task. Microsoft Business Intelligence employs data mining algorithms that are deployed in an easy to use environment. This demonstration based session will show how to use previous customer purchase information to predict potential customers. We will discuss how to set data sets and use different data mining algorithms to get predictive results and then demonstrate how to find the best predictions.

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Leila Etaati

She has over 10 years’ experience working with SQL server. She was involved in many large-scale projects for big sized companies as SQL server and BI consultant. She worked in Industries including banking financial, power and utility, manufacturing … Leila Etaati, PhD student of Information System department, University of Auckland, MS and BS in computer science. She is a lecturer and trainer in Business intelligence and data base design course in University of Auckland.
View all posts by Leila Etaati